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PROJECTS BGT Consulting Group

Business – Government - Technology

SEED: Self-learning and AI-powered Atmosphere and Energy Forecasting System using Earth Observation Data

The SEED’s project ultimate objective is to fully develop and commercialize a disruptive energy forecasting solution for the Indian market, based on an innovative self-learning and AI-powered atmosphere forecasting system using Satellite Earth Observation Data. In this action, we have supported in the delivery of a technical, financial and market feasibility study, together with the development of a business plan based on input collected directly from a pilot end-user, an Indian renewables energy producer.

Objectives of the service


The SEED solution offers a disruptive energy forecasting solution. Based on our innovative self-learning and AI-powered atmosphere forecasting system developed over the years powered by Satellite Earth Observation (EO) Data, our solution is able to forecast accurately energy production for wind and solar platforms. Our solution will minimize uncertainty in energy production that arises due to uncertainties in atmospheric conditions and weather patterns by offering a software-based analytics engine that processes atmosphere, ocean EO data, energy production parameters as well as other related requirements. SEED forecasting solution is built using globally high-resolved space-based earth observation data of COPERNICUS missions combined with high performance computing and advanced AI algorithms.

Scope, target users and their needs

SEED is the first forecasting engine fully relying on non-interpolated EO data thus increasing the accuracy, validity, and reliability of the information used for modelling. SEED solution can accurately forecast several important energy parameters (and respective related weather and climate) parameters in short to medium-term horizon with high spatial resolution.

The targeted users are the renewable energy producers in India. It is due to the emerging needs of renewable energy production and ever-changing atmospheric conditions over a large geographical area, but also due to the increasing demand of energy production and its reliability for a rising population. Therefore, India is very attractive market for our proposed solution. SEED developments included a first stage version of software dashboard that presents atmospheric conditions, energy production status based on advanced models interlinked with weather parameters and innovative AI models, thus allowing for our service users in achieving the following:

  • Optimized power production planning (short-term, medium-term and long-term forecasting)
  • Reduced penalties related to imbalance costs (compliance with deviation settlement mechanism regulatory framework in India)
  • Optimized energy trading opportunities
  • Reduced maintenance operations/costs
  • Supporting grid operators in stabilizing the grid
  • Enable a faster transition towards a low carbon economy

Funding body:

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